Image clustering based on sparse patch alignment framework

作者：

Highlights：

• We propose an optimization strategy for constructing local patches.

• We adopt sparse representation to select neighbors for manifold learning.

• We conduct experiments on four real-world datasets.

摘要

•We propose an optimization strategy for constructing local patches.•We adopt sparse representation to select neighbors for manifold learning.•We conduct experiments on four real-world datasets.

论文关键词：Image clustering,Manifold learning,Sparse representation

论文评审过程：Received 6 January 2014, Revised 11 April 2014, Accepted 5 May 2014, Available online 20 May 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.05.002